
Every day, waste collection trucks travel fixed routes on static schedules, regardless of whether the bins they service are overflowing or empty. This lack of responsiveness results in avoidable fuel costs and significant logistical inefficiencies.
NANDO, is an Italian AI start-up addressing this operational gap. Founded by a six-person team, including CEO Riccardo Leonardi, CTO Federico Fedi, and CPO Simone Cavariani, the company has developed technology that turns every collection truck into an intelligent data-gathering machine, without requiring any costly retrofitting of individual bins.Using a single onboard camera mounted on the collection truck the system analyses bin fill levels, waste volumes, and contamination in real time. This data is fed into routing algorithms that reduce logistical inefficiencies by up to 25% and lower fuel consumption per shift.
The platform also identifies waste types and flags contamination, enabling operators to improve recycling quality across entire districts. Municipal authorities and operators access these insights through a dashboard that provides real-time performance overviews and automatic detection of abandoned waste, requiring no complex integrations.
Client data illustrates the platform's impact on efficiency and sustainability. Urban waste operator CAUTO reduced operational costs by 30% after integrating the NANDO dashboard. Capgemini Italy improved its waste recycling rate by 71%, recycling 2.26 tonnes of waste across six sites. Sisal achieved a 50% improvement in recycling quality across its Milan and Rome headquarters, preventing 1,165 kilograms of CO2 emissions.
Currently trusted by more than 80 clients, NANDO operates across urban, industrial, office, and canteen waste streams.
Sources: NANDO / Crunchbase